On the Robustness of Interpretability Methods

21 June 2018

David Alvarez-Melis

Papers citing "On the Robustness of Interpretability Methods"

50 / 70 papers shown

Title
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Mahdi Dhaini Ege Erdogan Nils Feldhus Gjergji Kasneci 46 0 0 02 May 2025
Axiomatic Explainer Globalness via Optimal Transport Davin Hill Josh Bone A. Masoomi Max Torop Jennifer Dy 100 1 0 13 Mar 2025
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models Célia Wafa Ayad Thomas Bonnier Benjamin Bosch Sonali Parbhoo Jesse Read FAtt XAI 100 0 0 11 Feb 2025
The Effect of Similarity Measures on Accurate Stability Estimates for Local Surrogate Models in Text-based Explainable AI Christopher Burger Charles Walter Thai Le AAML 146 1 0 20 Jan 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 94 0 0 30 Dec 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 61 1 0 01 Jul 2024
Stability of Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 38 1 0 03 May 2024
Robust Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 23 0 0 03 May 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients Evandro S. Ortigossa Fábio F. Dias Brian Barr Claudio T. Silva L. G. Nonato FAtt 54 2 0 25 Apr 2024
Interpretable Prediction and Feature Selection for Survival Analysis Mike Van Ness Madeleine Udell 39 2 0 23 Apr 2024
Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation Paulo Yanez Sarmiento Simon Witzke Nadja Klein Bernhard Y. Renard FAtt AAML 38 0 0 22 Apr 2024
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis Abhilekha Dalal R. Rayan Adrita Barua Eugene Y. Vasserman Md Kamruzzaman Sarker Pascal Hitzler 27 4 0 21 Apr 2024
Accurate estimation of feature importance faithfulness for tree models Mateusz Gajewski Adam Karczmarz Mateusz Rapicki Piotr Sankowski 37 0 0 04 Apr 2024
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape Tiejin Chen Wenwang Huang Linsey Pang Dongsheng Luo Hua Wei OOD 41 0 0 09 Mar 2024
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 43 1 0 12 Dec 2023
Interpretability-Aware Vision Transformer Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 82 7 0 14 Sep 2023
Confident Feature Ranking Bitya Neuhof Y. Benjamini FAtt 19 3 0 28 Jul 2023
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI) Timo Speith Markus Langer 26 12 0 26 Jul 2023
Robust Ranking Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie FAtt AAML 35 0 0 08 Jul 2023
Explainable Predictive Maintenance Sepideh Pashami Sławomir Nowaczyk Yuantao Fan Jakub Jakubowski Nuno Paiva ... Bruno Veloso M. Sayed-Mouchaweh L. Rajaoarisoa Grzegorz J. Nalepa João Gama 32 8 0 08 Jun 2023
Rectifying Group Irregularities in Explanations for Distribution Shift Adam Stein Yinjun Wu Eric Wong Mayur Naik 27 1 0 25 May 2023
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Albert Bifet Fabian M. Suchanek FAtt 31 1 0 18 May 2023
The Generalizability of Explanations Hanxiao Tan FAtt 13 1 0 23 Feb 2023
A novel approach to generate datasets with XAI ground truth to evaluate image models Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover 14 4 0 11 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 40 3 0 07 Feb 2023
Certified Interpretability Robustness for Class Activation Mapping Alex Gu Tsui-Wei Weng Pin-Yu Chen Sijia Liu Lucani E. Daniel AAML 18 2 0 26 Jan 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 24 160 0 22 Dec 2022
This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy Anuja Vats A. Mohammed Marius Pedersen Nirmalie Wiratunga MedIm 22 9 0 05 Dec 2022
Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in Senegal Laura State Hadrien Salat S. Rubrichi Z. Smoreda 11 1 0 11 Nov 2022
On the Robustness of Explanations of Deep Neural Network Models: A Survey Amlan Jyoti Karthik Balaji Ganesh Manoj Gayala Nandita Lakshmi Tunuguntla Sandesh Kamath V. Balasubramanian XAI FAtt AAML 32 4 0 09 Nov 2022
Mitigating Covertly Unsafe Text within Natural Language Systems Alex Mei Anisha Kabir Sharon Levy Melanie Subbiah Emily Allaway J. Judge D. Patton Bruce Bimber Kathleen McKeown William Yang Wang 47 13 0 17 Oct 2022
Machine Learning in Transaction Monitoring: The Prospect of xAI Julie Gerlings Ioanna D. Constantiou 17 2 0 14 Oct 2022
What the DAAM: Interpreting Stable Diffusion Using Cross Attention Raphael Tang Linqing Liu Akshat Pandey Zhiying Jiang Gefei Yang K. Kumar Pontus Stenetorp Jimmy J. Lin Ferhan Ture 26 167 0 10 Oct 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 25 29 0 26 Sep 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 26 91 0 14 Sep 2022
Macroeconomic Predictions using Payments Data and Machine Learning James T. E. Chapman Ajit Desai 14 15 0 02 Sep 2022
Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death Joshua C. Chang Ted L. Chang Carson C. Chow R. Mahajan Sonya Mahajan Joe Maisog Shashaank Vattikuti Hongjing Xia FAtt OOD 32 0 0 28 Aug 2022
SoK: Explainable Machine Learning for Computer Security Applications A. Nadeem D. Vos Clinton Cao Luca Pajola Simon Dieck Robert Baumgartner S. Verwer 29 40 0 22 Aug 2022
Attribution-based Explanations that Provide Recourse Cannot be Robust H. Fokkema R. D. Heide T. Erven FAtt 44 18 0 31 May 2022
ExSum: From Local Explanations to Model Understanding Yilun Zhou Marco Tulio Ribeiro J. Shah FAtt LRM 11 25 0 30 Apr 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen AAML 16 40 0 25 Apr 2022
Interpretation of Black Box NLP Models: A Survey Shivani Choudhary N. Chatterjee S. K. Saha FAtt 32 10 0 31 Mar 2022
Robustness and Usefulness in AI Explanation Methods Erick Galinkin FAtt 22 1 0 07 Mar 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 177 185 0 03 Feb 2022
Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection Nirmal Sobha Kartha Clément Gautrais Vincent Vercruyssen 9 6 0 13 Dec 2021
LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations Weronika Hryniewska Adrianna Grudzieñ P. Biecek FAtt 48 3 0 15 Nov 2021
Defense Against Explanation Manipulation Ruixiang Tang Ninghao Liu Fan Yang Na Zou Xia Hu AAML 39 11 0 08 Nov 2021
A Survey on the Robustness of Feature Importance and Counterfactual Explanations Saumitra Mishra Sanghamitra Dutta Jason Long Daniele Magazzeni AAML 9 58 0 30 Oct 2021
The Irrationality of Neural Rationale Models Yiming Zheng Serena Booth J. Shah Yilun Zhou 27 16 0 14 Oct 2021
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research Thomas P. Quinn Sunil R. Gupta Svetha Venkatesh Vuong Le OOD 9 2 0 13 Oct 2021